Hongfei Yu

An undergraduate major in physics (Cosmology) / Member of the DESI Collaboration (Sponsor: Prof. Wenjuan Fang).

0817

Weekly Research Summary

Date: 2025.8.11-2025.8.17

1. Overview

Last week I focus on reading the paper (Zhang et al. 2025) and codes (/ChenYangyao/dwarf_assembly_bias). I reviewed a number of main concepts of astrophysics and cosmology and tried to be a "researcher" but not a student.

2. Activities and Progress

2.1 Code Review

  • Study main codes of dwarf_assembly_bias (e.g. galaxy_web_cross_from_obs_sample.py and codes in \src\samples\).
  • View pyhipp.
  • Download data and run galaxy_web_cross_from_obs_sample.py, successfully got a fig.

2.2 Theoretical Insights

  • Reading Zhang et al. (2025), concentrating on Fig.2 to understand the result.
  • Supplemented my understanding of some main concepts (e.g. dwarf galaxy, bias, etc.).

3. Challenges and Solutions

  • Unfamiliar with numbers of 'new' functions in Python, especially in long codes and lots of class.

I do not clearly know whether I need to understand all codes in Yangyao's repo. I only fully(?) know how galaxy_web_cross_from_obs_sample.py works.

  • Don't know how to get access to other data.

I only learn the data transfer via Globus before, when I need the data in Quijote.

  • Poor with astrophysics (e.g. lack of understanding on various of galaxies).

4. AI Tools Utilized

  • Chat-GPt-4o. Via Copilot to help me reading codes
  • Gemini-2.5Pro. Explain physical concepts so that I can quickly get a picture of a physical terms.